By name: analysis-patterns description: Data analysis, pattern recognition, and systematic troubleshooting patterns
Analysis Patterns
Patterns for data analysis, metrics evaluation, and systematic troubleshooting.
Core Approaches
Data Analysis
- Examine data for patterns, anomalies, and insights
- Assess performance metrics and KPIs
- Visualize complex relationships with mermaid or graphviz
Systematic Troubleshooting
- Divide and conquer: Split problem space in half repeatedly
- Binary search: Isolate variables to find root cause
- Timeline analysis: Map events chronologically
Analysis Checklist
- Context: Understand the full picture before diving in
- Data quality: Verify data accuracy and completeness
- Patterns: Look for trends, cycles, outliers
- Root cause: Don't stop at symptoms
- Evidence: Document findings with supporting data
- Visualization: Create diagrams to communicate findings
Visualization Tools
Use graphviz-diagrams skill or documentation-generator:mermaid-expert for:
- Flowcharts showing data flow
- Sequence diagrams for event timelines
- State diagrams for system states
- Pie/bar charts for distributions